Job Description

Primary Responsibilities : Develop and support data pipelines to extract, transform and load data into Google Data Center data warehouse. Maintain data reports and dashboards. Analyze data and perform statistical analysis.

Job Description

• Develop ETL/data pipelines to populate the data warehouse from a variety of custom and 3rd-party systems.
• Design, build, launch, optimize and extend full-stack Data and business intelligence solutions spanning extraction, storage, transformation and visualization layers.
• Implement and maintain data analysis scripts using SQL and Python.
• Develop and support reports and dashboards using Google Plx/Tableau/Looker/Data Studio.
• Improve and develop new and existing dashboards supporting business growth.
• Analyze data and perform statistical analysis.
• Monitor performance and implement the necessary infrastructure optimization.
• Demonstrate ability and willingness to learn quickly and complete large volumes of work with high quality.
• Demonstrate excellent collaboration, interpersonal communication and written skills with the ability to work in a team environment.

Minimum Qualifications

• 4+ years of solid hands-on experience with SQL scripting, dashboard development, and data analysis.
• Hands-on experience with design, development and support of data analysis.
• Hands-on experience using statistical methods for data analysis.
• Familiarity with machine learning and advanced analytics methods.
• Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc.).
• Experience with data platform and visualization technologies such as Google Plx dashboards, Data Studio, GoogleSQL, and BigQuery.
• Strong design and development skills with meticulous attention to detail.
• Familiarity with Agile Software Development practices and working in an agile environment.
• Strong analytical, troubleshooting and organizational skills.
• Ability to analyze and troubleshoot complex issues, and proficiency in multitasking.

• BS degree in Computer Science, Math, Statistics or equivalent academic credentials.

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